Sr. Manager Data Science/GenAI/ML (hands on)

  • Minneapolis, MN
  • Posted 21 hours ago | Updated 21 hours ago

Overview

Hybrid
Depends on Experience
Full Time

Skills

Data Science/GenAI/ML

Job Details

Our direct client is looking for Sr. Manager Data Science/GenAI/ML (hands on).
Preferred hybrid in Minneapolis area. FTE but CTH may work as well.
Qualifications
Education: Bachelor s degree from four-year college or university and advanced degree preferred (Computer Science, Management Information Systems, Economics, Finance, Business, Mathematics, Statistics, or other quantitative subject a plus) or seven to 10 years related experience; or equivalent combination of education and experience.
Experience:
  • 6-8 years of proven experience leading collaborative data science projects with technical and non-technical stakeholders, driving and communicating tangible business value succinctly
  • 4-6 years of development experience in an object-oriented programming language (Python 3.x preferred). Knowledge of software design (libraries, classes, functions), testing (logging, debugging), and versioning (Git, continuous deployment)
  • Experience building products that use or incorporate Large Language Models.
  • Experience with machine learning platforms and cloud computing, e.g., Microsoft Azure ML (preferred), Amazon SageMaker, Google Vertex AI
  • Demonstrated expertise in open-source libraries for advanced data analysis, statistical/machine learning models, and optimization, e.g. Pandas, Sci-Kit learn, Scipy, and OR Tools for Python
  • 4-6 years of experience designing solutions with business intelligence, reporting, or data visualization software packages (Tableau, PowerBI, Qlik, Looker, Cognos, R Shiny, D3, Python matplotlib)
  • Excellent written and verbal communication skills, including the ability to concisely convey analytical interpretation and/or data issues to business functions.
  • Ability to prioritize and manage multiple projects and competing priorities, and follow-through on committed deliverables using team-based project management with both Agile and Waterfall approaches to meet deadlines and deliver high-quality work.
  • Complex relational database development, maintenance, and exception testing experience (Snowflake, Oracle, etc.).
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